For ti år siden skrev forskeren Thomas Davenport og DJ Patil, tidligere US Chief Data Scientist, en artikkel i Harvard Business Review der de kåret data scientist til vårt århundres mest sexy jobb. Jeg tror data scientist også er begrepet på norsk, men vi bruker ofte datavitenskap som begrep om faget de jobber med, som tilsvarer data science på engelsk.
Allerede for ti år siden var det tusenvis av mennesker som hadde som jobb å prøve å finne gull ut av rotete og sølete data, ved å finne fram til, strukturere, koble sammen og tilrettelegge, og anvende ulike verktøy for å skape verdi for virksomheter ut av dataene. Artikkelen beskrev at en viktig del av jobben den gang var å jobbe med å utvikle og programmere verktøyene sine selv:
"Perhaps it’s becoming clear why the word “scientist” fits this emerging role. Experimental physicists, for example, also have to design equipment, gather data, conduct multiple experiments, and communicate their results. Thus, companies looking for people who can work with complex data have had good luck recruiting among those with educational and work backgrounds in the physical or social sciences. Some of the best and brightest data scientists are PhDs in esoteric fields like ecology and systems biology. George Roumeliotis, the head of a data science team at Intuit in Silicon Valley, holds a doctorate in astrophysics. A little less surprisingly, many of the data scientists working in business today were formally trained in computer science, math, or economics. They can emerge from any field that has a strong data and computational focus.""A decade later, the job is more in demand than ever with employers and recruiters. AI is increasingly popular in business, and companies of all sizes and locations feel they need data scientists to develop AI models. By 2019, postings for data scientists on Indeed had risen by 256%, and the U.S. Bureau of Labor Statistics, predicts data science will see more growth than almost any other field between now and 2029. The sought-after job is generally paid quite well; the median salary for an experienced data scientist in California is approaching $200,000."
"Many of the same headaches remain, too. In our research for the original article, many data scientists noted that they spend much of their time cleaning and wrangling data, and that is still the case despite a few advances in using AI itself for data management improvements. In addition, many organizations don’t have data-driven cultures and don’t take advantage of the insights provided by data scientists. Being hired and paid well doesn’t mean that data scientists will be able to make a difference for their employers. As a result, many are frustrated, leading to high turnover."










